Single-source SYCL C++ on Xilinx FPGA. Xilinx Research Labs Khronos 2017/11/12 19
|
|
- Jeremy Ross Cummings
- 6 years ago
- Views:
Transcription
1 Single-source SYCL C++ on Xilinx FPGA Xilinx Research Labs Khronos 2017/11/12 19
2 Khronos standards for heterogeneous systems 3D for the Web - Real-time apps and games in-browser - Efficiently delivering runtime 3D assets Connecting Software to Silicon Vision and Neural Networks - Tracking and odometry - Scene analysis/understanding - Neural Network inferencing Real-time 2D/3D - Virtual and Augmented Reality - Cross-platform gaming and UI - CG Visual Effects Parallel Computation - Machine Learning acceleration - Embedded vision processing - High Performance Computing (HPC) - CAD and Product Design - Safety-critical displays
3 PROMOTER MEMBERS Over 100 members worldwide Any company is welcome to join Copyright Khronos Group 2017
4 Complete example of matrix addition in OpenCL SYCL #include <CL/syclhpp> buffer B { &b[0][0], range { N, M } }; #include <iostream> using namespace cl::sycl; constexpr size_t N = 2; constexpr size_t M = 3; using Matrix = float[n][m]; buffer C { &c[0][0], range { N, M } }; // Enqueue some computation kernel task qsubmit([&](handler& cgh) { // Define the data used/produced auto ka = Aget_access<access::mode::read>(cgh); auto kb = Bget_access<access::mode::read>(cgh); // Compute sum of matrices a and b into c int main() { Matrix a = { { 1, 2, 3 }, { 4, 5, 6 } }; Matrix b = { { 2, 3, 4 }, { 5, 6, 7 } }; auto kc = Cget_access<access::mode::write>(cgh); // Create & call kernel named "mat_add" cghparallel_for<class mat_add>(range { N, M }, [=](id<2> i) { kc[i] = ka[i] + kb[i]; } ); Matrix c; }); // End of our commands for this queue } // End scope, so wait for the buffers to be released {// Create a queue to work on default device queue q; // Wrap some buffers around our data buffer A { &a[0][0], range { N, M } }; Page 4 // Copy back the buffer data with RAII behaviour std::cout << "c[0][2] = " << c[0][2] << std::endl; return 0; }
5 trisycl Open Source SYCL 12/22 Uses C++17 templated classes Used by Khronos to define the SYCL and OpenCL C++ standard Languages are now too complex to be defined without implementing On-going implementation started at AMD and now led by Xilinx OpenMP for host parallelism BoostCompute for OpenCL interaction Prototype of device compiler for Xilinx FPGA Page 5
6 architecture #include <CL/syclhpp> [] C++ SYCL qsubmit([&](auto &cgh) { // The kernel write a, so get a write accessor on it auto A = aget_access<access::mode::write>(cgh); Unmodified host compiler (gcc/clang/vs/icc) For OpenCL interoperability OpenMP CPU executable // Enqueue parallel kernel on a N*M 2D iteration space cghparallel_for<class init_a>({ N, M }, [=] C++ (autosycl index) { A[index] = index[0]*2 + index[1]; }); });} #include <CL/syclhpp> libopenclso Clang/LLVM Host & kernel caller OpenMP CPU executable C++17 & OpenMP & Boost OpenCL interoperability (BoostCompute) SYCL runtime Clang/LLVM device compiler kernelsbin Device Compiler Runtime SPIR 20 de facto Vendor OpenCL device compiler
7 SPIR 20 de facto output with Clang 391 using; ModuleID = 'device_compiler/single_task_vector_add_drtkernelbc' source_filename = "device_compiler/single_task_vector_add_drtcpp" target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-s128" target triple = "spir64" "_ZZZ9test_mainiPPcENK3$_1clERN2cl4sycl7handlerEENKUlvE_clEvexit": ; preds = %forbodyi } ret void declare gxx_personality_v0() ; Function Attrs: noinline norecurse nounwind uwtable define spir_kernel addrspace(1)* %f000val, i32 addrspace(1)* %f010val, i32 addrspace(1)* %f020val) unnamed_addr #0!kernel_arg_addr_space!3!kernel_arg_type!4!kernel_arg_base_type!4!kernel_arg_type_qual!5!kernel_arg_access_qual!6 {!llvmident =!{!0} attributes #0 = { noinline norecurse nounwind uwtable "disable-tail-calls"="false" "less-precisefpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-jump-tables"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" } entry: br label %forbodyi!openclspirversion =!{!1}!opencloclversion =!{!2} forbodyi: ; preds = %forbodyi, %entry %indvarsivi = phi i64 [ 0, %entry ], [ %indvarsivnexti, %forbodyi ] %arrayidxii = getelementptr inbounds i32, i32 addrspace(1)* %f010val, i64 %indvarsivi %0 = load i32, i32 addrspace(1)* %arrayidxii, align 4,!tbaa!7 %arrayidxi15i = getelementptr inbounds i32, i32 addrspace(1)* %f020val, i64 %indvarsivi %1 = load i32, i32 addrspace(1)* %arrayidxi15i, align 4,!tbaa!7 %addi = add nsw i32 %1, %0 %arrayidxi13i = getelementptr inbounds i32, i32 addrspace(1)* %f000val, i64 %indvarsivi store i32 %addi, i32 addrspace(1)* %arrayidxi13i, align 4,!tbaa!7 %indvarsivnexti = add nuw nsw i64 %indvarsivi, 1 %exitcondi = icmp eq i64 %indvarsivnexti, 300!0 =!{!"clang version 391 "}!1 =!{i32 2, i32 0}!2 =!{i32 1, i32 2}!3 =!{i32 1, i32 1, i32 1}!4 =!{!"int *",!"int *",!"int *"}!5 =!{!"",!"",!""}!6 =!{!"read_write",!"read_write",!"read_write"}!7 =!{!8,!8, i64 0}!8 =!{!"int",!9, i64 0}!9 =!{!"omnipotent char",!10, i64 0}!10 =!{!"Simple C++ TBAA"} br i1 %exitcondi, label %"_ZZZ9test_mainiPPcENK3$_1clERN2cl4sycl7handlerEENKUlvE_clEvexit", label %forbodyi Page 7
8 After Xilinx SDx xocc ingestion Page 8
9 After Xilinx SDx xocc ingestion FPGA layout! Page 9
10 Code execution on real FPGA (device)$ device_compiler/single_task_vector_add_drtkernel_caller binary_size = task::add_prelude task::add_prelude task::add_prelude accessor(accessor &a) : &a = 0x7ffd39395f40 &buffer =0x7ffd39395f50 accessor(accessor &a) : &a = 0x7ffd39395f30 &buffer =0x7ffd39395f60 accessor(accessor &a) : &a = 0x7ffd39395f20 &buffer =0x7ffd39395f70 single_task &f = 0x7ffd39395f50 task::prelude schedule_kernel &k = 0x Setting up _ZN2cl4sycl6detail18instantiate_kernelIZZ9test_mainiPPcENK3$_1clERNS0_7handlerEE3addZZ9test_mainiS4_ENKS5_clES7_EUlvE_EEvT0_ aka TRISYCL_kernel_0 Name device xilinx_adm-pcie-7v3_1ddr_3_0 serialize_accessor_arg index =0, size = 4, arg = 0 serialize_accessor_arg index =1, size = 4, arg = 0x1 serialize_accessor_arg index =2, size = 4, arg = 0x2 **** no errors detected Page 10
11 Page 11
Copyright Khronos Group Page 1
SYCL and OpenCL State of the Nation Michael Wong ISOCPP VP Codeplay Vice President of R & D SYCL Working Group Chair Chair C++ Standard SG5, SG14 michael@codeplay.com wongmichael.com Ronan Keryell Xilinx
More informationSingle-source SYCL C++ on Xilinx FPGA. Xilinx Research Labs Khronos 2017/11/12 19
Single-source SYCL C++ on Xilinx FPGA Xilinx Research Labs Khronos booth @SC17 2017/11/12 19 Power wall & speed of light: the final frontier Current physical limits Power consumption Cannot power-on all
More informationCopyright Khronos Group Page 1. Introduction to SYCL. SYCL Tutorial IWOCL
Copyright Khronos Group 2015 - Page 1 Introduction to SYCL SYCL Tutorial IWOCL 2015-05-12 Copyright Khronos Group 2015 - Page 2 Introduction I am - Lee Howes - Senior staff engineer - GPU systems team
More informationCopyright Khronos Group, Page 1 SYCL. SG14, February 2016
Copyright Khronos Group, 2014 - Page 1 SYCL SG14, February 2016 BOARD OF PROMOTERS Over 100 members worldwide any company is welcome to join Copyright Khronos Group 2014 SYCL 1. What is SYCL for and what
More informationOpenCL: History & Future. November 20, 2017
Mitglied der Helmholtz-Gemeinschaft OpenCL: History & Future November 20, 2017 OpenCL Portable Heterogeneous Computing 2 APIs and 2 kernel languages C Platform Layer API OpenCL C and C++ kernel language
More informationSYCL for OpenCL. in a nutshell. Maria Rovatsou, Codeplay s R&D Product Development Lead & Contributor to SYCL. IWOCL Conference May 2014
SYCL for OpenCL in a nutshell Maria Rovatsou, Codeplay s R&D Product Development Lead & Contributor to SYCL! IWOCL Conference May 2014 SYCL for OpenCL in a nutshell SYCL in the OpenCL ecosystem SYCL aims
More information15-411: LLVM. Jan Hoffmann. Substantial portions courtesy of Deby Katz
15-411: LLVM Jan Hoffmann Substantial portions courtesy of Deby Katz and Gennady Pekhimenko, Olatunji Ruwase,Chris Lattner, Vikram Adve, and David Koes Carnegie What is LLVM? A collection of modular and
More informationtrisycl Open Source C++17 & OpenMP-based OpenCL SYCL prototype Ronan Keryell 05/12/2015 IWOCL 2015 SYCL Tutorial Khronos OpenCL SYCL committee
trisycl Open Source C++17 & OpenMP-based OpenCL SYCL prototype Ronan Keryell Khronos OpenCL SYCL committee 05/12/2015 IWOCL 2015 SYCL Tutorial OpenCL SYCL committee work... Weekly telephone meeting Define
More informationIntroducing Parallelism to the Ranges TS
Introducing Parallelism to the Ranges TS Gordon Brown, Christopher Di Bella, Michael Haidl, Toomas Remmelg, Ruyman Reyes, Michel Steuwer Distributed & Heterogeneous Programming in C/C++, Oxford, 14/05/2018
More informationUsing SYCL as an Implementation Framework for HPX.Compute
Using SYCL as an Implementation Framework for HPX.Compute Marcin Copik 1 Hartmut Kaiser 2 1 RWTH Aachen University mcopik@gmail.com 2 Louisiana State University Center for Computation and Technology The
More informationSYCL for OpenCL May15. Copyright Khronos Group Page 1
SYCL for OpenCL May15 Copyright Khronos Group 2015 - Page 1 Copyright Khronos Group 2015 - Page 2 SYCL for OpenCL - Single-source C++ Pronounced sickle - To go with spear (SPIR) Royalty-free, cross-platform
More informationThe Role of Standards in Heterogeneous Programming
The Role of Standards in Heterogeneous Programming Multi-core Challenge Bristol UWE 45 York Place, Edinburgh EH1 3HP June 12th, 2013 Codeplay Software Ltd. Incorporated in 1999 Based in Edinburgh, Scotland
More informationSYCL for OpenCL in a Nutshell
SYCL for OpenCL in a Nutshell Luke Iwanski, Games Technology Programmer @ Codeplay! SIGGRAPH Vancouver 2014 1 2 Copyright Khronos Group 2014 SYCL for OpenCL in a nutshell Copyright Khronos Group 2014 Why?
More informationPTX Back-End: GPU Programming with LLVM
PTX Back-End: GPU Programming with LLVM Justin Holewinski The Ohio State University LLVM Developer's Meeting November 18, 2011 Justin Holewinski (Ohio State) PTX Back-End Nov. 18, 2011 1 / 37 Outline PTX
More informationCreating Formally Verified Components for Layered Assurance with an LLVM-to-ACL2 Translator
Creating Formally Verified Components for Layered Assurance with an LLVM-to-ACL2 Translator Jennifer Davis, David Hardin, Jedidiah McClurg December 2013 Introduction Research objectives: Reduce need to
More informationVisionCPP Mehdi Goli
VisionCPP Mehdi Goli Motivation Computer vision Different areas Medical imaging, film industry, industrial manufacturing, weather forecasting, etc. Operations Large size of data Sequence of operations
More informationOpenCL C++ kernel language
Copyright Khronos Group 2016 - Page 1 OpenCL C++ kernel language Vienna April 2016 Adam Stański Bartosz Sochacki Copyright Khronos Group 2016 - Page 2 OpenCL 2.2 OpenCL C++ Open source free compiler https://github.com/khronosgroup/libclcxx
More informationPROGRAMOVÁNÍ V C++ CVIČENÍ. Michal Brabec
PROGRAMOVÁNÍ V C++ CVIČENÍ Michal Brabec PARALLELISM CATEGORIES CPU? SSE Multiprocessor SIMT - GPU 2 / 17 PARALLELISM V C++ Weak support in the language itself, powerful libraries Many different parallelization
More informationCopyright Khronos Group 2012 Page 1. OpenCL 1.2. August 2012
Copyright Khronos Group 2012 Page 1 OpenCL 1.2 August 2012 Copyright Khronos Group 2012 Page 2 Khronos - Connecting Software to Silicon Khronos defines open, royalty-free standards to access graphics,
More informationebpf-based tracing tools under 32 bit architectures
Linux Plumbers Conference 2018 ebpf-based tracing tools under 32 bit architectures Maciej Słodczyk Adrian Szyndela Samsung R&D Institute Poland
More informationCopyright Khronos Group Page 1
OpenCL State of the Nation Neil Trevett Khronos President NVIDIA Vice President Developer Ecosystem OpenCL Working Group Chair ntrevett@nvidia.com @neilt3d Toronto, May 2017 Copyright Khronos Group 2017
More informationCopyright Khronos Group Page 1
OpenCL State of the Nation Neil Trevett Khronos President NVIDIA Vice President Developer Ecosystem OpenCL Working Group Chair ntrevett@nvidia.com @neilt3d Toronto, May 2017 Copyright Khronos Group 2017
More informationOpenCL Press Conference
Copyright Khronos Group, 2011 - Page 1 OpenCL Press Conference Tokyo, November 2011 Neil Trevett Vice President Mobile Content, NVIDIA President, The Khronos Group Copyright Khronos Group, 2011 - Page
More informationCopyright Khronos Group Page 1. Vulkan Overview. June 2015
Copyright Khronos Group 2015 - Page 1 Vulkan Overview June 2015 Copyright Khronos Group 2015 - Page 2 Khronos Connects Software to Silicon Open Consortium creating OPEN STANDARD APIs for hardware acceleration
More informationAdvanced OpenMP. Other threading APIs
Advanced OpenMP Other threading APIs What s wrong with OpenMP? OpenMP is designed for programs where you want a fixed number of threads, and you always want the threads to be consuming CPU cycles. - cannot
More informationSYCL-based Data Layout Abstractions for CPU+GPU Codes
DHPCC++ 2018 Conference St Catherine's College, Oxford, UK May 14th, 2018 SYCL-based Data Layout Abstractions for CPU+GPU Codes Florian Wende, Matthias Noack, Thomas Steinke Zuse Institute Berlin Setting
More informationThe OpenVX Computer Vision and Neural Network Inference
The OpenVX Computer and Neural Network Inference Standard for Portable, Efficient Code Radhakrishna Giduthuri Editor, OpenVX Khronos Group radha.giduthuri@amd.com @RadhaGiduthuri Copyright 2018 Khronos
More informationParallel STL in today s SYCL Ruymán Reyes
Parallel STL in today s SYCL Ruymán Reyes ruyman@codeplay.com Codeplay Research 15 th November, 2016 Outline 1 Parallelism TS 2 The SYCL parallel STL 3 Heterogeneous Execution with Parallel STL 4 Conclusions
More informationA Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function
A Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function Chen-Ting Chang, Yu-Sheng Chen, I-Wei Wu, and Jyh-Jiun Shann Dept. of Computer Science, National Chiao
More informationVisualizing code structure in LLVM
Institute of Computational Science Visualizing code structure in LLVM Dmitry Mikushin dmitry.mikushin@usi.ch. December 5, 2013 Dmitry Mikushin Visualizing code structure in LLVM December 5, 2013 1 / 14
More informationREFLECTIONS ON TRUSTING BITCODE
ITSECX - @FREDERICJACOBS REFLECTIONS ON TRUSTING BITCODE 2 INTRO ~ WHOIS FREDERIC icepa Signal Both Open-Source Software INTRO 3 Talk based on blog post HTTPS://MEDIUM.COM/@FREDERICJACOBS/WHY-I-M-NOT-ENABLING-BITCODE-F35CD8FBFCC5
More informationOpen Standards for Vision and AI Peter McGuinness NNEF WG Chair CEO, Highwai, Inc May 2018
Copyright Khronos Group 2018 - Page 1 Open Standards for Vision and AI Peter McGuinness NNEF WG Chair CEO, Highwai, Inc peter.mcguinness@gobrach.com May 2018 Khronos Mission E.g. OpenGL ES provides 3D
More informationOpenCL Overview. Shanghai March Neil Trevett Vice President Mobile Content, NVIDIA President, The Khronos Group
Copyright Khronos Group, 2012 - Page 1 OpenCL Overview Shanghai March 2012 Neil Trevett Vice President Mobile Content, NVIDIA President, The Khronos Group Copyright Khronos Group, 2012 - Page 2 Processor
More informationStatic Analysis for C++ with Phasar
Static Analysis for C++ with Phasar Philipp Schubert philipp.schubert@upb.de Ben Hermann ben.hermann@upb.de Eric Bodden eric.bodden@upb.de Who are we? Philipp Schubert Chief Developer of PHASAR Teaches
More informationSDAccel Development Environment User Guide
SDAccel Development Environment User Guide Features and Development Flows Revision History The following table shows the revision history for this document. Date Version Revision 05/13/2016 2016.1 Added
More informationStandards for Vision Processing and Neural Networks
Copyright Khronos Group 2017 - Page 1 Standards for Vision Processing and Neural Networks Radhakrishna Giduthuri, AMD radha.giduthuri@ieee.org Agenda Why we need a standard? Khronos NNEF Khronos OpenVX
More informationBaggy bounds with LLVM
Baggy bounds with LLVM Anton Anastasov Chirantan Ekbote Travis Hance 6.858 Project Final Report 1 Introduction Buffer overflows are a well-known security problem; a simple buffer-overflow bug can often
More informationcuda-on-cl A compiler and runtime for running NVIDIA CUDA C++11 applications on OpenCL 1.2 devices Hugh Perkins (ASAPP)
cuda-on-cl A compiler and runtime for running NVIDIA CUDA C++11 applications on OpenCL 1.2 devices Hugh Perkins (ASAPP) Demo: CUDA on Intel HD5500 global void setvalue(float *data, int idx, float value)
More informationDynamic Dispatch and Duck Typing. L25: Modern Compiler Design
Dynamic Dispatch and Duck Typing L25: Modern Compiler Design Late Binding Static dispatch (e.g. C function calls) are jumps to specific addresses Object-oriented languages decouple method name from method
More informationSIGGRAPH Briefing August 2014
Copyright Khronos Group 2014 - Page 1 SIGGRAPH Briefing August 2014 Neil Trevett VP Mobile Ecosystem, NVIDIA President, Khronos Copyright Khronos Group 2014 - Page 2 Significant Khronos API Ecosystem Advances
More informationBoost.Compute. A C++ library for GPU computing. Kyle Lutz
Boost.Compute A C++ library for GPU computing Kyle Lutz GPUs (NVIDIA, AMD, Intel) Multi-core CPUs (Intel, AMD) STL for Parallel Devices Accelerators (Xeon Phi, Adapteva Epiphany) FPGAs (Altera, Xilinx)
More informationCompiler Tools for HighLevel Parallel Languages
Compiler Tools for HighLevel Parallel Languages Paul Keir Codeplay Software Ltd. LEAP Conference May 21st 2013 Presentation Outline Introduction EU Framework 7 Project: LPGPU Offload C++ for PS3 Memory
More informationGetting started. Roel Jordans
Getting started Roel Jordans Goal Translate a program from a high level language into something the processor can execute efficiently So before we start we need to know how this processor executes a program
More informationnaïve GPU kernels generation from Fortran source code Dmitry Mikushin
KernelGen naïve GPU kernels generation from Fortran source code Dmitry Mikushin Contents Motivation and target Assembling our own toolchain: schemes and details Toolchain usecase: sincos example Development
More informationColin Riddell GPU Compiler Developer Codeplay Visit us at
OpenCL Colin Riddell GPU Compiler Developer Codeplay Visit us at www.codeplay.com 2 nd Floor 45 York Place Edinburgh EH1 3HP United Kingdom Codeplay Overview of OpenCL Codeplay + OpenCL Our technology
More informationImproving Compiler Optimizations using Program Annotations
Improving Compiler Optimizations using Program Annotations BY NIKO ZARZANI Laurea, Politecnico di Milano, Milan, Italy, 2011 THESIS Submitted as partial fulfillment of the requirements for the degree of
More informationModern C++ Parallelism from CPU to GPU
Modern C++ Parallelism from CPU to GPU Simon Brand @TartanLlama Senior Software Engineer, GPGPU Toolchains, Codeplay C++ Russia 2018 2018-04-21 Agenda About me and Codeplay C++17 CPU Parallelism Third-party
More informationIntroduction to C++ Introduction to C++ 1
1 What Is C++? (Mostly) an extension of C to include: Classes Templates Inheritance and Multiple Inheritance Function and Operator Overloading New (and better) Standard Library References and Reference
More informationA Framework for Automatic OpenMP Code Generation
1/31 A Framework for Automatic OpenMP Code Generation Raghesh A (CS09M032) Guide: Dr. Shankar Balachandran May 2nd, 2011 Outline 2/31 The Framework An Example Necessary Background Polyhedral Model SCoP
More informationHigher Level Programming Abstractions for FPGAs using OpenCL
Higher Level Programming Abstractions for FPGAs using OpenCL Desh Singh Supervising Principal Engineer Altera Corporation Toronto Technology Center ! Technology scaling favors programmability CPUs."#/0$*12'$-*
More informationEnabling a Richer Multimedia Experience with GPU Compute. Roberto Mijat Visual Computing Marketing Manager
Enabling a Richer Multimedia Experience with GPU Compute Roberto Mijat Visual Computing Marketing Manager 1 What is GPU Compute Operating System and most application processing continue to reside on the
More informationTHE PROGRAMMER S GUIDE TO THE APU GALAXY. Phil Rogers, Corporate Fellow AMD
THE PROGRAMMER S GUIDE TO THE APU GALAXY Phil Rogers, Corporate Fellow AMD THE OPPORTUNITY WE ARE SEIZING Make the unprecedented processing capability of the APU as accessible to programmers as the CPU
More informationPress Briefing SIGGRAPH 2015 Neil Trevett Khronos President NVIDIA Vice President Mobile Ecosystem. Copyright Khronos Group Page 1
Press Briefing SIGGRAPH 2015 Neil Trevett Khronos President NVIDIA Vice President Mobile Ecosystem Copyright Khronos Group 2015 - Page 1 Khronos Connects Software to Silicon Open Consortium creating ROYALTY-FREE,
More informationNavigating the Vision API Jungle: Which API Should You Use and Why? Embedded Vision Summit, May 2015
Copyright Khronos Group 2015 - Page 1 Navigating the Vision API Jungle: Which API Should You Use and Why? Embedded Vision Summit, May 2015 Neil Trevett Khronos President NVIDIA Vice President Mobile Ecosystem
More informationA Brief Introduction to Using LLVM. Nick Sumner
A Brief Introduction to Using LLVM Nick Sumner What is LLVM? A compiler? (clang) What is LLVM? A compiler? (clang) A set of formats, libraries, and tools. What is LLVM? A compiler? (clang) A set of formats,
More informationPARALUTION - a Library for Iterative Sparse Methods on CPU and GPU
- a Library for Iterative Sparse Methods on CPU and GPU Dimitar Lukarski Division of Scientific Computing Department of Information Technology Uppsala Programming for Multicore Architectures Research Center
More informationCopyright Khronos Group Page 1
Gaming Market Briefing Overview of APIs GDC March 2016 Neil Trevett Khronos President NVIDIA Vice President Developer Ecosystem ntrevett@nvidia.com @neilt3d Copyright Khronos Group 2016 - Page 1 Copyright
More informationOpen API Standards for Mobile Graphics, Compute and Vision Processing GTC, March 2014
Open API Standards for Mobile Graphics, Compute and Vision Processing GTC, March 2014 Neil Trevett Vice President Mobile Ecosystem, NVIDIA President Khronos Copyright Khronos Group 2014 - Page 1 Khronos
More informationUpdate on Khronos Open Standard APIs for Vision Processing Neil Trevett Khronos President NVIDIA Vice President Mobile Ecosystem
Update on Khronos Open Standard APIs for Vision Processing Neil Trevett Khronos President NVIDIA Vice President Mobile Ecosystem Copyright Khronos Group 2015 - Page 1 Copyright Khronos Group 2015 - Page
More informationTHE NVIDIA DEEP LEARNING ACCELERATOR
THE NVIDIA DEEP LEARNING ACCELERATOR INTRODUCTION NVDLA NVIDIA Deep Learning Accelerator Developed as part of Xavier NVIDIA s SOC for autonomous driving applications Optimized for Convolutional Neural
More informationMore performance options
More performance options OpenCL, streaming media, and native coding options with INDE April 8, 2014 2014, Intel Corporation. All rights reserved. Intel, the Intel logo, Intel Inside, Intel Xeon, and Intel
More informationOpenCL TM & OpenMP Offload on Sitara TM AM57x Processors
OpenCL TM & OpenMP Offload on Sitara TM AM57x Processors 1 Agenda OpenCL Overview of Platform, Execution and Memory models Mapping these models to AM57x Overview of OpenMP Offload Model Compare and contrast
More informationAccelerating Vision Processing
Accelerating Vision Processing Neil Trevett Vice President Mobile Ecosystem at NVIDIA President of Khronos and Chair of the OpenCL Working Group SIGGRAPH, July 2016 Copyright Khronos Group 2016 - Page
More informationTargeting LLVM IR. LLVM IR, code emission, assignment 4
Targeting LLVM IR LLVM IR, code emission, assignment 4 LLVM Overview Common set of tools & optimizations for compiling many languages to many architectures (x86, ARM, PPC, ASM.js). Integrates AOT & JIT
More informationHKG OpenCL Support by NNVM & TVM. Jammy Zhou - Linaro
HKG18-417 OpenCL Support by NNVM & TVM Jammy Zhou - Linaro Agenda OpenCL Overview OpenCL in NNVM & TVM Current Status OpenCL Introduction Open Computing Language Open standard maintained by Khronos with
More informationHETEROGENEOUS SYSTEM ARCHITECTURE: PLATFORM FOR THE FUTURE
HETEROGENEOUS SYSTEM ARCHITECTURE: PLATFORM FOR THE FUTURE Haibo Xie, Ph.D. Chief HSA Evangelist AMD China OUTLINE: The Challenges with Computing Today Introducing Heterogeneous System Architecture (HSA)
More informationProgramming GPUs with C++14 and Just-In-Time Compilation
Programming GPUs with C++14 and Just-In-Time Compilation Michael Haidl, Bastian Hagedorn, and Sergei Gorlatch University of Muenster {m.haidl, b.hagedorn, gorlatch}@uni-muenster.de Abstract. Systems that
More informationHSAIL: PORTABLE COMPILER IR FOR HSA
HSAIL: PORTABLE COMPILER IR FOR HSA HOT CHIPS TUTORIAL - AUGUST 2013 BEN SANDER AMD SENIOR FELLOW STATE OF GPU COMPUTING GPUs are fast and power efficient : high compute density per-mm and per-watt But:
More informationStandards Update. Copyright Khronos Group Page 1
Standards Update VR/AR, 3D, Web, Vision and Deep Learning Neil Trevett Khronos President NVIDIA VP Developer Ecosystem ntrevett@nvidia.com @neilt3d www.khronos.org Copyright Khronos Group 2017 - Page 1
More informationP4LLVM: An LLVM based P4 Compiler
P4LLVM: An LLVM based P4 Compiler Tharun Kumar Dangeti, Venkata Keerthy Soundararajan, Ramakrishna Upadrasta Indian Institute of Technology Hyderabad First P4 European Workshop - P4EU September 24 th,
More informationKhronos Connects Software to Silicon
Press Pre-Briefing GDC 2015 Neil Trevett Khronos President NVIDIA Vice President Mobile Ecosystem All Materials Embargoed Until Tuesday 3 rd March, 12:01AM Pacific Time Copyright Khronos Group 2015 - Page
More informationCopyright Khronos Group, Page 1. OpenCL Overview. February 2010
Copyright Khronos Group, 2011 - Page 1 OpenCL Overview February 2010 Copyright Khronos Group, 2011 - Page 2 Khronos Vision Billions of devices increasing graphics, compute, video, imaging and audio capabilities
More informationCompiler Construction: LLVMlite
Compiler Construction: LLVMlite Direct compilation Expressions X86lite Input Output Compile directly from expression language to x86 Syntax-directed compilation scheme Special cases can improve generated
More informationUnderstanding Undefined Behavior
Session Developer Tools #WWDC17 Understanding Undefined Behavior 407 Fred Riss, Clang Team Ryan Govostes, Security Engineering and Architecture Team Anna Zaks, Program Analysis Team 2017 Apple Inc. All
More informationTaipei Embedded Outreach OpenCL DSP Profile Proposals
Copyright 2018 The Khronos Group Inc. Page 1 Taipei Embedded Outreach OpenCL DSP Profile Proposals Prof. Jenq-Kuen Lee, NTHU Taipei, January 2018 Copyright 2018 The Khronos Group Inc. Page 2 Outline Speaker
More informationThreaded Programming. Lecture 9: Alternatives to OpenMP
Threaded Programming Lecture 9: Alternatives to OpenMP What s wrong with OpenMP? OpenMP is designed for programs where you want a fixed number of threads, and you always want the threads to be consuming
More informationMichel Steuwer.
Michel Steuwer http://homepages.inf.ed.ac.uk/msteuwer/ SKELCL: Algorithmic Skeletons for GPUs X i a i b i = reduce (+) 0 (zip ( ) A B) #include #include #include
More informationLecture 6 More on the LLVM Compiler
Lecture 6 More on the LLVM Compiler Jonathan Burket Special thanks to Deby Katz, Luke Zarko, and Gabe Weisz for their slides Visualizing the LLVM Compiler System C C++ Java Source Code Clang (Front End)
More informationDevelopment of a Translator from LLVM to ACL2
Development of a Translator from LLVM to ACL2 David Hardin, Jennifer Davis, David Greve, and Jedidiah McClurg July 2014 Introduction Research objectives: Reason about machine code generated from high-level
More informationBeyond Hardware IP An overview of Arm development solutions
Beyond Hardware IP An overview of Arm development solutions 2018 Arm Limited Arm Technical Symposia 2018 Advanced first design cost (US$ million) IC design complexity and cost aren t slowing down 542.2
More information6.S096 Lecture 4 Style and Structure
6.S096 Lecture 4 Style and Structure Transition from C to C++ Andre Kessler Andre Kessler 6.S096 Lecture 4 Style and Structure 1 / 24 Outline 1 Assignment Recap 2 Headers and multiple files 3 Coding style
More informationCopyright Khronos Group Page 1
Open Standards and Open Source Together How Khronos APIs Accelerate Fast and Cool Applications Neil Trevett Khronos President NVIDIA Vice President Mobile Ecosystem Copyright Khronos Group 2015 - Page
More informationStream Computing using Brook+
Stream Computing using Brook+ School of Electrical Engineering and Computer Science University of Central Florida Slides courtesy of P. Bhaniramka Outline Overview of Brook+ Brook+ Software Architecture
More informationOpenCL Overview Benedict R. Gaster, AMD
Copyright Khronos Group, 2011 - Page 1 OpenCL Overview Benedict R. Gaster, AMD March 2010 The BIG Idea behind OpenCL OpenCL execution model - Define N-dimensional computation domain - Execute a kernel
More informationCopyright Khronos Group Page 1
OpenCL A State of the Union Neil Trevett Khronos President NVIDIA Vice President Developer Ecosystem OpenCL Working Group Chair ntrevett@nvidia.com @neilt3d Vienna, April 2016 Copyright Khronos Group 2016
More informationOpenCL 2.0, OpenCL SYCL & OpenMP 4
OpenCL 2.0, OpenCL SYCL & OpenMP 4 Open Standards for Heterogeneous Parallel Computing Ronan Keryell AMD Performance & Application Engineering Sunnyvale, California, USA 2014/07/03 High Performance Computing
More informationSeptember 19,
September 19, 2013 1 Problems with previous examples Changes to the implementation will require recompilation & relinking of clients Extensions will require access to the source code Solutions Combine
More informationComputer Programming: C++
The Islamic University of Gaza Engineering Faculty Department of Computer Engineering Fall 2017 ECOM 2003 Muath i.alnabris Computer Programming: C++ Experiment #7 Arrays Part II Passing Array to a Function
More informationHSA foundation! Advanced Topics on Heterogeneous System Architectures. Politecnico di Milano! Seminar Room A. Alario! 23 November, 2015!
Advanced Topics on Heterogeneous System Architectures HSA foundation! Politecnico di Milano! Seminar Room A. Alario! 23 November, 2015! Antonio R. Miele! Marco D. Santambrogio! Politecnico di Milano! 2
More informationHSA Foundation! Advanced Topics on Heterogeneous System Architectures. Politecnico di Milano! Seminar Room (Bld 20)! 15 December, 2017!
Advanced Topics on Heterogeneous System Architectures HSA Foundation! Politecnico di Milano! Seminar Room (Bld 20)! 15 December, 2017! Antonio R. Miele! Marco D. Santambrogio! Politecnico di Milano! 2
More information4/1/15 LLVM AND SSA. Low-Level Virtual Machine (LLVM) LLVM Compiler Infrastructure. LL: A Subset of LLVM. Basic Blocks
4//5 Low-Level Virtual Machine (LLVM) LLVM AND SSA Slides adapted from those prepared by Steve Zdancewic at Penn Open-Source Compiler Infrastructure see llvm.org for full documntation Created by Chris
More informationAlias Analysis in LLVM
Alias Analysis in LLVM by Sheng-Hsiu Lin Presented to the Graduate and Research Committee of Lehigh University in Candidacy for the Degree of Master of Science in Computer Science Lehigh University May
More informationWebGL Meetup GDC Copyright Khronos Group, Page 1
WebGL Meetup GDC 2012 Copyright Khronos Group, 2012 - Page 1 Copyright Khronos Group, 2012 - Page 2 Khronos API Ecosystem Trends Neil Trevett Vice President Mobile Content, NVIDIA President, The Khronos
More informationDeep Learning Frameworks. COSC 7336: Advanced Natural Language Processing Fall 2017
Deep Learning Frameworks COSC 7336: Advanced Natural Language Processing Fall 2017 Today s lecture Deep learning software overview TensorFlow Keras Practical Graphical Processing Unit (GPU) From graphical
More information(5-1) Object-Oriented Programming (OOP) and C++ Instructor - Andrew S. O Fallon CptS 122 (February 4, 2019) Washington State University
(5-1) Object-Oriented Programming (OOP) and C++ Instructor - Andrew S. O Fallon CptS 122 (February 4, 2019) Washington State University Key Concepts 2 Object-Oriented Design Object-Oriented Programming
More informationCopyright Khronos Group Page 1
Update on Khronos Standards for Vision and Machine Learning December 2017 Neil Trevett Khronos President NVIDIA VP Developer Ecosystem ntrevett@nvidia.com @neilt3d www.khronos.org Copyright Khronos Group
More informationINTRODUCTION TO OPENCL TM A Beginner s Tutorial. Udeepta Bordoloi AMD
INTRODUCTION TO OPENCL TM A Beginner s Tutorial Udeepta Bordoloi AMD IT S A HETEROGENEOUS WORLD Heterogeneous computing The new normal CPU Many CPU s 2, 4, 8, Very many GPU processing elements 100 s Different
More informationWebGL, WebCL and OpenCL
Copyright Khronos Group, 2011 - Page 1 WebGL, WebCL and OpenCL Neil Trevett Vice President Mobile Content, NVIDIA President, The Khronos Group Copyright Khronos Group, 2011 - Page 2 Processor Parallelism
More informationSilicon Acceleration APIs
Copyright Khronos Group 2016 - Page 1 Silicon Acceleration APIs Embedded Technology 2016, Yokohama Neil Trevett Vice President Developer Ecosystem, NVIDIA President, Khronos ntrevett@nvidia.com @neilt3d
More informationJose Aliaga (Universitat Jaume I, Castellon, Spain), Ruyman Reyes, Mehdi Goli (Codeplay Software) 2017 Codeplay Software Ltd.
SYCL-BLAS: LeveragingSYCL-BLAS Expression Trees for Linear Algebra Jose Aliaga (Universitat Jaume I, Castellon, Spain), Ruyman Reyes, Mehdi Goli (Codeplay Software) 1 About me... Phd in Compilers and Parallel
More information